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From "Sangwon Seo (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HAMA-233) Solving linear solution with Conjugate Gradient Method
Date Tue, 08 Dec 2009 21:30:19 GMT

    [ https://issues.apache.org/jira/browse/HAMA-233?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12787753#action_12787753
] 

Sangwon Seo commented on HAMA-233:
----------------------------------

Following is short explanation on CG method.
http://smiler-note.blogspot.com/2009/12/applying-conjugate-gradient-with.html

I will soon update first version of patch.


> Solving linear solution with Conjugate Gradient Method
> ------------------------------------------------------
>
>                 Key: HAMA-233
>                 URL: https://issues.apache.org/jira/browse/HAMA-233
>             Project: Hama
>          Issue Type: New Feature
>          Components: matrix
>    Affects Versions: 0.1.0
>            Reporter: Sangwon Seo
>            Assignee: Sangwon Seo
>            Priority: Minor
>             Fix For: 0.1.0
>
>
> For spase matrix, CG method is good in a way of iterative learning.
> This can be applied to many applications (MLP, descent gradient search, etc..) as a primitive,
not even in linear solution.
> Related paper (From Carnegie Mellon, It presents in verry simple way to understand everything
behind the CG) is as bellow.
> http://smiler82.springnote.com/pages/3827983/attachments/2558573

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